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Simultaneous Benefit Maximization of Conflicting Opinions: Modeling and Analysis
Yang, Lu Xing1; Li, Pengdeng2; Yang, Xiaofan2; Xiang, Yong1; Tang, Yuan Yan3
2020-06-01
Source PublicationIEEE Systems Journal
ISSN1932-8184
Volume14Issue:2Pages:1623-1634
Abstract

There are a multitude of opinions that are popular in online social networks (OSNs). Typically, an opinion creator attempts to push his opinion to OSN users to gain the maximum possible benefit. In the situation that there are a conflicting pair of opinions, this article is devoted to developing a pair of opinion-pushing strategies that are acceptable to both of the two opinion creators. Based on a novel conflicting opinion propagation model, we model the original problem as a differential game-theoretic problem. By means of differential game theory, we derive a promising strategy-pair of the game-theoretic problem, accompanied with a few examples. Finally, we find that the promising strategy pair outperforms a large number of randomly generated strategy pairs in the sense of Nash equilibrium solution concept. Therefore, we recommend the two opinion-pushing strategies in the promising strategy pair to the two opinion creators, respectively. This article has potential applications in diverse areas such as misinformation restraint and competitive viral marketing.

KeywordBenefit Maximization Conflicting Opinions Differential Game Theory Nash Equilibrium Opinion-pushing Strategy
DOI10.1109/JSYST.2020.2964004
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Engineering ; Operations Research & Management Science ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Operations Research & Management Science ; Telecommunications
WOS IDWOS:000543049900010
Scopus ID2-s2.0-85086068783
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Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorYang, Xiaofan
Affiliation1.School of Information Technology, Deakin University, 3125, Australia
2.School of Big Data and Software Engineering, Chongqing University, Chongqing, 400044, China
3.Department of Computer and Information Science, University of Macau, 999078, Macao
Recommended Citation
GB/T 7714
Yang, Lu Xing,Li, Pengdeng,Yang, Xiaofan,et al. Simultaneous Benefit Maximization of Conflicting Opinions: Modeling and Analysis[J]. IEEE Systems Journal, 2020, 14(2), 1623-1634.
APA Yang, Lu Xing., Li, Pengdeng., Yang, Xiaofan., Xiang, Yong., & Tang, Yuan Yan (2020). Simultaneous Benefit Maximization of Conflicting Opinions: Modeling and Analysis. IEEE Systems Journal, 14(2), 1623-1634.
MLA Yang, Lu Xing,et al."Simultaneous Benefit Maximization of Conflicting Opinions: Modeling and Analysis".IEEE Systems Journal 14.2(2020):1623-1634.
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